Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is clear. The description adds valuable context: it's hosted by the platform, requires no platform credentials, is paid per query with prepaid credits, and clarifies data is not confidential and the client is the data controller under LGPD. This goes beyond annotations by explaining the commercial and legal context, which is useful for an agent deciding whether to invoke the tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single paragraph of three sentences, which is concise. It front-loads the core purpose (DETRAN MS Licenciamentos, consulta em fonte oficial) and then adds context about hosting, payment, and legal aspects. No wasted words, but the legal disclaimer (LGPD) might be less critical for tool selection and could be trimmed, though it's relevant for compliance.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (2 required params, no output schema, no enums), the description covers the purpose, payment model, and data sensitivity. However, it lacks parameter semantics (as noted) and doesn't describe the return format or any error conditions. Since there's no output schema, the description should at least hint at what the response contains (e.g., licensing status, fees, dates). The legal context is useful but doesn't compensate for missing operational details.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate for the two parameters (placa and renavam). The description does not explain what these parameters are, their format, or how they relate to the query. It only mentions 'consulta' generically. For a Brazilian vehicle licensing query, placa (license plate) and renavam (vehicle registration number) are domain-specific, and the description fails to clarify them, leaving the agent to guess.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool queries DETRAN MS licensing information from an official source, using the verb 'consultar' (consult) and specifying the resource (licenciamentos). It distinguishes itself from siblings by focusing on a specific Brazilian state (MS) and a specific domain (licenciamentos), though it doesn't explicitly name alternative tools for similar queries.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage context: it's a paid query service with prepaid credits, and it's for official Brazilian data available to citizens. However, it doesn't explicitly state when to use this tool versus alternatives, nor does it mention any prerequisites like authentication (though sibling tools include 'authenticate' and 'connect', suggesting a workflow). The guidance is implicit rather than explicit.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.